GENERATIVE AI: FROM TASKS TO PROCESSES

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  • Level: Advanced
  • Length: 65 Minutes
  • 13 Interactive Lessons
  • Downloadable Resources
  • Live Demonstrations
  • Activities to Implement
  • Completion Certificate
  • Real-World Examples
  • Instructor: Krista Neher

WHY YOU'LL LOVE GENERATIVE AI: FROM TASKS TO PROCESSES

Elevate your AI use from ad-hoc AI prompts to processes and systems that scale.

In this course, you’ll learn how to turn everyday tasks into repeatable AI processes that deliver consistent, high-quality results.

Get practical templates, real examples, and step-by-step directions to make AI a powerful, reliable part of your workflow.
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COMPLETION CERTIFICATE INCLUDED

COURSE DETAILS

Course Outline

Part 1
Lesson 1: Why Moving to Processes Matters
  • How to adapt my mindset to use AI for processes instead of tasks
  • Limitations of one-off prompting
  • Benefits of using AI for processes
Lesson 2: Tasks vs Processes
  • How to identify a task vs a process
  • How to turn tasks into processes for higher-quality outputs
Lesson 3: Designing Your AI Process
  • How to design an AI process with a proven template
  • Best practices for each step of AI process design
Lesson 4: Process Elements
  • Key process elements: triggers, inputs, process logic and outputs
  • Tips to optimize each process element
Lesson 5: Standardizing Inputs
  • Why standardizing inputs matters
  • Strategies, tips, and best practices for standardizing inputs
Part 2
Lesson 6: Managing Context
  • How to manage context consistently in a process
  • Common context and how to create scalable assets for your process
Lesson 7: Consistent Outputs
  • Strategies to increase the consistency of your outputs
  • How to test and stress test processes to increase consistency
Lesson 8: Use Case: Blog Post
  • How to create an AI process for a blog post based on a webinar transcript
  • Best practices for process design
Lesson 9: Use Case: Email Outreach 
  • How to build an AI process for email outreach
  • How a process can be mapped out across systems
Part 3
Lesson 10: Advanced Prompt Design
  • Advanced prompt design for processes
  • How to apply prompt techniques to improve outputs
Lesson 11: Automating AI
  • How to automate AI processes
  • Benefits of AI automation processes
Lesson 12: Use Case: Sales Follow-Up
  • How AI processes can be automated to reduce human effort
  • How a sales follow-up process can be mapped and automated
Lesson 13: Managing and Scaling
  • How to effectively manage and scale an AI process
  • Tips to maintain and scale your process

What You'll Learn

  • Identify the benefits of adopting a process-driven approach to AI usage.
  • Design an AI process using a proven method.
  • Apply process elements, including triggers, inputs, process logic, and outputs.
  • Standardize inputs to deliver more consistent results.
  • Manage context to increase process reliability and quality.
  • Manage the quality of prompt outputs.
  • Apply advanced prompt design principles to processes.
  • Use automation to execute processes.
  • Manage and scale processes across your organization.
  • Apply AI processes to multiple business use cases.
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OUR HAPPY CLIENTS

MEET YOUR INSTRUCTOR
KRISTA NEHER

 Krista Neher is a six-time bestselling author, international speaker, award-winning entrepreneur, global thought-leader, and an expert in social media, digital marketing, and personal branding, with over 20 years of experience.

She is the CEO of Boot Camp Digital and a contributor on Forbes and Newsweek. She wrote the first textbook on social media and created the first accredited digital marketing certification in the world.

Connect with Krista on LinkedIn 

ABOUT BOOT CAMP DIGITAL

Boot Camp Digital is the global leader in digital marketing training and education, with over 20 years experience. We've worked with the biggest companies like GE, P&G, Meta, Google, T-Mobile, NASA, The United Statess Senate, Medtronic, Johnson & Johnson, General Mills, Boeing, Cisco, and countless small and medium businesses.
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  • Expert instructors with practical experience

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